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公开(公告)号:US10754060B2
公开(公告)日:2020-08-25
申请号:US15277883
申请日:2016-09-27
发明人: Paul Borrel , Paulo Rodrigo Cavalin , Carlos Raoni de Alencar Mendes , Matthias Kormaksson , Carmen Nilda Mena Paz
摘要: A fracture pattern characterization method, system, and computer program product, include classifying fracture patterns of reservoir layers using a correlation of reservoir information associated with target images and the target images extracted from a database and determining a fracture pattern characterization of a new reservoir layer input based on the classified fracture patterns.
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公开(公告)号:US20200167564A1
公开(公告)日:2020-05-28
申请号:US16775464
申请日:2020-01-29
摘要: An automatic method of determining an image composition procedure that generates a new image visualization based on aggregations and variations of input images. A set of input images is received. Visual features are extracted from the input images. Context associated with input images is received. Based on the extracted visual features and the context associated with the input images, a composition procedure comprising a set of image operations to apply on the set of input images is learned. One or more image operations in the composition procedure are determined to present to a user. A difference visualization image associated with the input images may be generated by executing the one or more image operations.
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公开(公告)号:US10223482B2
公开(公告)日:2019-03-05
申请号:US15197734
申请日:2016-06-29
摘要: An embodiment includes a method for use by at least one machine learning classifier. The method comprises the machine learning classifier obtaining one or more recent results from at least one geomechanical simulation; the machine learning classifier comparing the recent results to stored historical data; and, based on the comparing, the machine learning classifier deciding at least one reservoir model for use by at least one reservoir simulation.
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公开(公告)号:US20180088252A1
公开(公告)日:2018-03-29
申请号:US15277883
申请日:2016-09-27
发明人: Paul Borrel , Paulo Rodrigo Cavalin , Carlos Raoni de Alencar Mendes , Matthias Kormaksson , Carmen Nilda Mena Paz
CPC分类号: G01V99/005 , G01V2210/646 , G06K9/4604 , G06K9/6254 , G06N3/02
摘要: A fracture pattern characterization method, system, and computer program product, include classifying fracture patterns of reservoir layers using a correlation of reservoir information associated with target images and the target images extracted from a database and determining a fracture pattern characterization of a new reservoir layer input based on the classified fracture patterns.
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公开(公告)号:US10977489B2
公开(公告)日:2021-04-13
申请号:US16182818
申请日:2018-11-07
摘要: A system, method and program product for processing borehole images to delineate between natural fractures and induced fractures. A system is disclosed that includes: an image analysis platform that inputs a noisy image from a borehole, processes the image using a set of filtering strategies, and renders a set of suggested filtered images via a user interface, the user interface including a mechanism for allowing a user to choose a selected filtered image from the set of suggested filtered images that best delineates between natural fractures and induced fractures, and wherein the image analysis platform further includes a feedback system for packaging and outputting the noisy image and selected filtered image as feedback; and a learning platform having a knowledge registration system that collects and stores training data and the feedback and in a knowledgebase, and a machine learning system that generates filtering strategies.
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公开(公告)号:US10546394B2
公开(公告)日:2020-01-28
申请号:US15246648
申请日:2016-08-25
IPC分类号: G06T11/00
摘要: A system, method and program product for annotating visualizations with uncertainty information. A system is provided that includes a visualization importer that imports a generated visualization; an uncertainty processor that locates a region of uncertainty in the generated visualization; and a graphics annotator that generates an annotated visualization having uncertainty artifacts that visually identify the region of uncertainty.
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7.
公开(公告)号:US20190154463A1
公开(公告)日:2019-05-23
申请号:US15820250
申请日:2017-11-21
摘要: A system, product, and method of automatic reading any flow metering device, including generating a first image of the device associated and secured with a mobile device with a camera, recognizing a type of device according to a database of metering's, generating a mask for any following image based on the mobile device and the first image, based on any following image, analyzing it to extract information based on the image recognition related to the type of device, and validating the extracted information with location, timestamp, and the mask.
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8.
公开(公告)号:US20190034812A1
公开(公告)日:2019-01-31
申请号:US15662411
申请日:2017-07-28
摘要: A system, method and program product for stratigraphic layer identification using a stratigraphic knowledge base for machine learning. Reservoir data includes seismic data and well log data for a reservoir area. The well log data is processed to identify well stratigraphic layer features and the seismic data is processed to identify seismic stratigraphic layer features. A feature matching algorithm based on a stratigraphic knowledge base is selected to match the well stratigraphic layer features to the seismic stratigraphic layer features. The matched features are used to define a stratigraphic layer interpretation for the reservoir area and the interpretation is presented to a user.
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公开(公告)号:US20180114190A1
公开(公告)日:2018-04-26
申请号:US15333710
申请日:2016-10-25
发明人: Paul Borrel , Alvaro B. Buoro
CPC分类号: G06Q10/103 , G06F16/84 , G06F16/9038
摘要: A system, method and program product for a computer-based project collaboration system using a data log for cross-domain collaboration. A cognitive log stores log entries based on domain-specific project data sources. An ontology translator includes domain-specific ontologies and a mapping ontology that defines relationships among the domain-specific ontologies. A cross-domain query includes domain parameters from one domain-specific ontology and returns and displays results based on log entries with domain parameters from another domain-specific ontology using the ontology translator.
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公开(公告)号:US11295048B2
公开(公告)日:2022-04-05
申请号:US16291183
申请日:2019-03-04
摘要: An embodiment includes a method for use by at least one machine learning classifier. The method comprises the machine learning classifier obtaining one or more recent results from at least one geomechanical simulation; the machine learning classifier comparing the recent results to stored historical data; and, based on the comparing, the machine learning classifier deciding at least one reservoir model for use by at least one reservoir simulation.
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